{"@context":"https://schema.org","@type":"JobPosting","title":"AI Developer","description":"

AI Developer

Location: Remote

Notice Period: 30 days

Overview

Join a forward‐thinking team where you'll design cutting‐edge machine learning models and deploy intelligent solutions at scale, shaping the future of AI‐driven products. We foster a collaborative environment, provide access to top‐tier data, and give you the freedom to innovate with the latest frameworks—empowering you to turn bold ideas into real‐world impact.

Key Responsibilities

Architect, develop, and fine‐tune machine‐learning models using Python and modern libraries (e.g., TensorFlow, PyTorch, scikit‐learn).

Build end‐to‐end AI pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.

Deploy models to production environments (cloud, containers, or edge) ensuring scalability, reliability, and performance.

Collaborate with product, data engineering, and UX teams to translate business requirements into AI solutions.

Monitor and maintain deployed models, implement continuous improvement and automated retraining workflows.

Document code, experiments, and model decisions for reproducibility and knowledge sharing.

Stay current with emerging AI research and industry best practices; propose innovative approaches.

Required Experience & Skills

Freshers are welcomed.

Strong proficiency in Python for data science and model development.

Hands‐on experience with at least one major ML framework (TensorFlow, PyTorch, etc.).

Familiarity with data handling libraries (pandas, NumPy) and visualization tools (Matplotlib, Seaborn).

Understanding of model evaluation metrics, hyperparameter tuning, and version control (Git).

Ability to work independently in a remote setting while collaborating effectively across time zones.

Good‐to‐Have Skills

Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow).

Knowledge of RESTful APIs and micro‐service architecture for model serving.

Exposure to NLP, computer vision, or reinforcement learning domains.

Familiarity with CI/CD pipelines for AI projects.

What We Offer

Remote‐first culture with flexible working hours.

Access to high‐quality datasets and cutting‐edge AI infrastructure.

Opportunities to experiment with the latest frameworks and research.

Collaborative, multidisciplinary teams that value innovation.

Competitive compensation package and performance‐based incentives.

Continuous learning budget for courses, conferences, and certifications.

Ready to shape the next generation of AI‐driven products? Apply today and turn your ideas into impactful solutions.

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